Fashion Images Perspectives Vit Large Patch16 384 v2
This model is a fine-tuned version of google/vit-large-patch16-384 on the /workspace/fashion-images-perspectives-v4 dataset. It achieves the following results on the evaluation set: Loss: 0.1395 Accuracy: 0.9655
Source du modèle
- Type
- Other
- Taille du fichier
- 1,13 GB
- Modèle de base
- google/vit-large-patch16-384
- Version
- vRevision b9ccd3c
- Mis à jour
- 6 oct. 2026
- Téléchargements
- 366
- Source
- Hugging Face
Description de la source
fashion-images-perspectives-vit-large-patch16-384-v2
This model is a fine-tuned version of google/vit-large-patch16-384 on the /workspace/fashion-images-perspectives-v4 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1395
- Accuracy: 0.9655
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1747 | 1.0 | 5531 | 0.2032 | 0.9456 |
| 0.0836 | 2.0 | 11062 | 0.1395 | 0.9655 |
| 0.0479 | 3.0 | 16593 | 0.1564 | 0.9675 |
| 0.0156 | 4.0 | 22124 | 0.1745 | 0.9700 |
| 0.0065 | 5.0 | 27655 | 0.1948 | 0.9690 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
Sources
1 source
Sources
1 sourceVérifié 6 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactExtraits de sources
3 extraits
Extraits de sources
3 extraits--- library_name: transformers license: apache-2.0 base_model: google/vit-large-patch16-384 tags: - image-classification - vision - generated_from_trainer datasets: - imagefolder metrics: - accuracy model-index: - name: fashion-images-perspectives-vit-large-patch16-384-v2 results: - task: name: Image Classification type: image-classification dataset: name: /workspace/fashion-images-perspectives-v4 type: imagefolder config: default split: train args: default metrics: - name: Accuracy type: accuracy value: 0.9655481557377049 --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # fashion-images-perspectives-vit-large-patch16-384-v2 This model is a fine-tuned version of [google/vit-large-patch16-384](https://huggingface.co/google/vit-large-patch16-384) on the /workspace/fashion-images-perspectives-v4 dataset. It achieves the following results on the evaluation set: - Loss: 0.1395 - Accuracy: 0.9655 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 1337 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 5.0 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:-----:|:---------------:|:--------:| | 0.1747 | 1.0 | 5531 | 0.2032 | 0.9456 | | 0.0836 | 2.0 | 11062 | 0.1395 | 0.9655 | | 0.0479 | 3.0 | 16593 | 0.1564 | 0.9675 | | 0.0156 | 4.0 | 22124 | 0.1745 | 0.9700 | | 0.0065 | 5.0 | 27655 | 0.1948 | 0.9690 | ### Framework versions - Transformers 4.49.0 - Pytorch 2.6.0+cu124 - Datasets 3.4.1 - Tokenizers 0.21.1
Source context: 366 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-perspectives-vit-large-patch16-384-v2
Source context: 459 downloads · 0 likes · Pipeline image-classification · Library transformers · Repo touchtech/fashion-images-perspectives-vit-large-patch16-384-v2
